Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers.
Paul KaufmannKyrre GletteThiemo GruberMarco PlatznerJim TørresenBernhard SickPublished in: IEEE Trans. Evol. Comput. (2013)
Keyphrases
- evolvable hardware
- decision trees
- classification models
- classification method
- support vector
- classification algorithm
- training set
- svm classifier
- class labels
- classification accuracy
- pattern recognition
- feature selection
- evolutionary algorithm
- bio inspired
- eeg signals
- classifier combination
- machine learning
- signal processing
- feature set
- evolutionary computation
- load balancing
- neural network
- artificial neural networks
- training data
- image filters